Ezponential Stability of Cellular Neural Networks with Time-varying Delay

摘要：

A novel method is proposed in this note for exponential stability of cellular neural networks with time-varying delay. New delay-dependent exponential stability conditions of cellular neural network with time-varying delay is presented by constructing Lyapunov function and using linear matrix inequality (LMI). Finally, a numerical example is given to demonstrate the effect of the proposed method.

关键词： delayed cellular neural networks (DCNNs) Lyapunov functional LMI Ezponential stability

作者: Meng Hua Wang Yanhong Lv Xuan Xue-Li Wu

作者单位: Hebei University of Science and Technology, Shijiazhuang, 050054 Engineering Technology Research Cen Hebei University of Science and Technology, Shijiazhuang, 050054 Engineering Technology Research Cen

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 5669-5674

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）